On the Extended Relationships Among EVM, BER and SNR as Performance Metrics

Author

Shafik, Rishad Ahmed ; Rahman, Md Shahriar ; Islam, AHM Razibul

Author_Institution

Islamic Univ. of Technol., Gazipur

fYear

2006

fDate

19-21 Dec. 2006

Firstpage

408

Lastpage

411

Abstract

In this paper, we relate the error vector magnitude (EVM) bit error rate (BER) and signal to noise ratio (SNR). We also present the fact that with such relationship it would be possible to predict or in cases substitute EVM in places of BER or even SNR. In doing so, we first define EVM with normalization so that the definition stands for multi-modulation systems, viz. binary phas shift keying (BPSK), quadrature phase shift keying (QPSK) etc. We also compare among the different performance metrics and show that EVM can be equivalently useful as signal to noise ratio and bit error rate. The relationships are based on stream based communication systems. A few Monte Carlo simulations are carried out to illustrate the performance of EVM based on these relationships.

Keywords

Monte Carlo methods; error statistics; phase shift keying; BER; EVM; Monte Carlo simulations; SNR; bit error rate; error vector magnitude; multimodulation systems; performance metrics; signal to noise ratio; stream based communication systems; Adaptive systems; Binary phase shift keying; Bit error rate; Error correction; Gaussian noise; Noise measurement; Power measurement; Predictive models; Quadrature phase shift keying; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2006. ICECE '06. International Conference on

Conference_Location

Dhaka

Print_ISBN

98432-3814-1

Type

conf

DOI

10.1109/ICECE.2006.355657

Filename

4178493